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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "causalsim" in publications use:'
type: software
license: MIT
title: 'causalsim: Simulation-Ready Causal Data Generating Processes'
version: 0.1.0
doi: 10.32614/CRAN.package.causalsim
abstract: Construct, simulate, and evaluate causal data generating processes (DGPs)
  with known ground truth. Designed for benchmarking causal estimators, studying confounding
  and treatment-effect heterogeneity, and building reproducible teaching examples.
  Covariate roles (confounder, effect modifier, noise) and heterogeneous treatment
  effects are first-class concepts in the API, and estimator performance is summarised
  with bias, root mean squared error, confidence-interval coverage, and power.
authors:
- family-names: Reed
  given-names: Chayce
  email: Chayce.Reed.HSE@dartmouth.edu
repository: https://chaycereed.r-universe.dev
repository-code: https://github.com/chaycereed/causalsim
commit: 9898ab85c550e76d9a3691a15d84c6d316ccce04
url: https://chaycereed.github.io/causalsim/
date-released: '2026-10-08'
contact:
- family-names: Reed
  given-names: Chayce
  email: Chayce.Reed.HSE@dartmouth.edu